2017
DOI: 10.18414/ksz.2017.5.457
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Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben

Abstract: Közgazdasági szemle , lX iV. éVf., 2017. május (457-475. o.) Hosszú zsuzsanna-mérő Bence Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben Tanulmányunkban egy olyan ágensalapú keynesi makromodellt fejlesztettünk, amely a háztartásokon és vállalatokon kívül részletesen kidolgozott bankrendszert tartalmaz, továbbá amelyben működik központi bank, költségvetési hatóság és makroprudenciális politikai szabályozó is. A bankrendszer a gazdasági ciklusnál hosszabb hitelezési ciklusokat idéz e… Show more

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“…While rational expectations in DSGE models do not allow the model to become extreme, in the case of agent-based models it is easy to create a model in a way that over time the economy either explodes or disappears. For example, in the model of Hosszú and Mérő (2017), in the case of an inappropriately chosen unemployment benefit any extreme could occur if the indebtedness of the government is not prevented. If the unemployment benefit is too high, aggregate demand may be too high, whereas in the case of too low unemployment benefit aggregate demand may even gradually fade away.…”
Section: Studies Bence Mérőmentioning
confidence: 99%
See 1 more Smart Citation
“…While rational expectations in DSGE models do not allow the model to become extreme, in the case of agent-based models it is easy to create a model in a way that over time the economy either explodes or disappears. For example, in the model of Hosszú and Mérő (2017), in the case of an inappropriately chosen unemployment benefit any extreme could occur if the indebtedness of the government is not prevented. If the unemployment benefit is too high, aggregate demand may be too high, whereas in the case of too low unemployment benefit aggregate demand may even gradually fade away.…”
Section: Studies Bence Mérőmentioning
confidence: 99%
“…Agent-based models may require lots of calculations. In the case of Assenza et al (2015) as well as Hosszú and Mérő (2017) there are still relatively few actors: to compute the decisions of a couple hundred agents at the complexity level applied does not require much calculation. However, when the order of magnitude of the number of agents changes considerably (which was set as a target by the EURACE), running a model may take a long time.…”
Section: Studies Bence Mérőmentioning
confidence: 99%